Principles of Adaptive Filters and Self-learning Systems

Kalman and Wiener Filters, Neural Networks, Genetic Algorithms and Fuzzy Logic Systems Together in One Text Book How can a signal be processed for which there are few or no a priori data? Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate cour...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Zaknich, Anthony (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Grimble, Michael J. (Επιμελητής έκδοσης), Johnson, Michael A. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2005.
Σειρά:Advanced Textbooks in Control and Signal Processing,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Adaptive Filtering
  • Linear Systems and Stochastic Processes
  • Modelling
  • Optimisation and Least Squares Estimation
  • Parametric Signal and System Modelling
  • Classical Filters and Spectral Analysis
  • Optimum Wiener Filter
  • Optimum Kalman Filter
  • Power Spectral Density Analysis
  • Adaptive Filter Theory
  • Adaptive Finite Impulse Response Filters
  • Frequency Domain Adaptive Filters
  • Adaptive Volterra Filters
  • Adaptive Control Systems
  • Nonclassical Adaptive Systems
  • to Neural Networks
  • to Fuzzy Logic Systems
  • to Genetic Algorithms
  • Adaptive Filter Application
  • Applications of Adaptive Signal Processing
  • Generic Adaptive Filter Structures.